Liudmila Zhilyakova

Dr. Liudmila Zhilyakova

V. A. Trapeznikov Institute of Control Sciences, Moscow, Moskva, Russia
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Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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16 April 2011 in Automation and Remote Control
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Liudmila ZhilyakovaLiudmila Zhilyakova
Liudmila Zhilyakova
We consider dynamic resource allocation processes in two-sided asymmetrical resource networks with loops and study their stabilization conditions. We show that for a unit total resource, the resource...

13 August 2015 in Automation and Remote Control
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Liudmila ZhilyakovaLiudmila Zhilyakova
Liudmila Zhilyakova
The review of a number of non-classical flow models and threshold models of spreading activity in a network is given. The description of flow models with nonstandard reachability is provided....

20 August 2010 in Doklady Mathematics
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OKO. P. Kuznetsov
O. P. Kuznetsov
Liudmila ZhilyakovaLiudmila Zhilyakova
Liudmila Zhilyakova

14 June 2012 in Automation and Remote Control
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Liudmila ZhilyakovaLiudmila Zhilyakova
Liudmila Zhilyakova
We study stabilization processes in resource networks with arbitrary topology for large values of the resource, when certain vertices accumulate the resource, and resource in these vertices exceeds...

1 December 2018 in Scientific and Technical Information Processing
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NBN. Bazenkov
N. Bazenkov
DVDmitry Vorontsov
Dmitry Vorontsov
Varvara DyakonovaVarvara Dyakonova
Varvara Dyakonova
Liudmila ZhilyakovaLiudmila Zhilyakova
Liudmila Zhilyakova
IZIgor Zakharov
Igor Zakharov
PBPavel Balaban
Pavel Balaban
This paper presents a discrete model of non-synaptic interactions between neurons, which are performed by special chemical agents, neurotransmitters. In this model, all signals are broadcast: each...

12 July 2012 in Automation and Remote Control
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Liudmila ZhilyakovaLiudmila Zhilyakova
Liudmila Zhilyakova
This work is devoted to methods of computing the limit state and the limit flow in a resource network for large values of the resource. To do so, we study resource distribution processes in families...